Assistant Professor

Isel Grau Garcia

Department
Industrial Engineering and Innovation Sciences
Group
EAISI Foundational
EAISI Health

RESEARCH PROFILE

Isel Grau is an Assistant Professor in the Information Systems group at Eindhoven University of Technology (TU/e). Her research interests lie in the area of Artificial Intelligence, particularly recurrent neural networks, cognitive networks, (semi-)supervised classification, time-series analysis, data-driven decision making, and explainable AI. Her main research activity focuses on making machine learning black boxes more interpretable, formalizing prior knowledge from experts and using their feedback to improve AI models, identifying and correcting bias, and exploring these challenges in healthcare or business settings. She aims to develop more trustable and meaningful decision support systems that put human experts in the loop.

I want to contribute to AI solutions that are accurate and useful, but also transparent and fair.

ACADEMIC BACKGROUND

Isel Grau received her Ph.D. in Computer Science from the Vrije Universiteit Brussel (VUB), Belgium, and her MSc degree in Computer Science from the Central University of Las Villas, Cuba. Her Ph.D. research focused on machine learning interpretability and semi-supervised classification. During her postdoctoral research at the Artificial Intelligence Laboratory of the VUB, she closely collaborated with institutions such as the Interuniversity Institute of Bioinformatics Brussels, the Universitair Ziekenhuis Brussel, and industry partners (e.g., Collibra NV) on interdisciplinary projects funded by VUB and INNOVIRIS. She has active collaboration with researchers from Queen’s University Belfast, Hasselt University, Universidad de Talca, Warsaw University of Technology, and Tilburg University.

Ancillary Activities

No ancillary activities